| Stan: A probabilistic programming language B Carpenter, A Gelman, MD Hoffman, D Lee, B Goodrich, M Betancourt, ... Journal of statistical software 76 (1), 2017 | 8254 | 2017 |
| Stan: A probabilistic programming language B Carpenter, A Gelman, MD Hoffman, D Lee, B Goodrich, M Betancourt, ... Journal of statistical software 76 (1), 2017 | 8254 | 2017 |
| Stan: A Probabilistic Programming Language B Carpenter, D Lee, MA Brubaker, A Riddell, A Gelman, B Goodrich, ... | 8254* | |
| R-squared for Bayesian regression models A Gelman, B Goodrich, J Gabry, A Vehtari The American Statistician, 2019 | 833 | 2019 |
| rstanarm: Bayesian applied regression modeling via Stan B Goodrich, J Gabry, I Ali, S Brilleman R package version 2 (1), 2020 | 788 | 2020 |
| loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models A Vehtari, J Gabry, M Magnusson, Y Yao, PC Bürkner, T Paananen, ... R package version 2 (1), 12, 2020 | 678* | 2020 |
| rstanarm: Bayesian applied regression modeling via Stan. R package version 2.21. 1 B Goodrich, J Gabry, I Ali, S Brilleman Retrieved June 6, 2020, 2020 | 267 | 2020 |
| rstanarm: Bayesian Applied Regression Modeling via Stan J Gabry, B Goodrich R package version 2, 0-3, 2016 | 156 | 2016 |
| Migration and risk: net migration in marginal ecosystems and hazardous areas A De Sherbinin, M Levy, S Adamo, K MacManus, G Yetman, V Mara, ... Environmental Research Letters 7 (4), 045602, 2012 | 123 | 2012 |
| Multiple imputation for continuous and categorical data: Comparing joint multivariate normal and conditional approaches J Kropko, B Goodrich, A Gelman, J Hill Political Analysis 22 (4), 497-519, 2014 | 122 | 2014 |
| Visualizing Distributions of Covariance Matrices T Tokuda, B Goodrich, I Van Mechelen, A Gelman, F Tuerlinckx Technical report, University of Leuwen, Belgium and Columbia University, USA …, 2011 | 100 | 2011 |
| Brilleman S. rstanarm: Bayesian applied regression modeling via Stan. 2020 B Goodrich, J Gabry, I Ali R package version 2 (3), 2020 | 90 | 2020 |
| Efficient Bayesian Structural Equation Modeling in Stan EC Merkle, E Fitzsimmons, J Uanhoro, B Goodrich arXiv preprint arXiv:2008.07733, 2020 | 85 | 2020 |
| RStan: The R interface to Stan J Guo, M Betancourt, M Brubaker, B Carpenter, B Goodrich, M Hoffman, ... | 67 | 2014 |
| Antiemetic Prophylaxis as a Marker of Health Care Disparities in the National Anesthesia Clinical Outcomes Registry. MH Andreae, JS Gabry, B Goodrich, RS White, C Hall Anesthesia and analgesia 126 (2), 588-599, 2018 | 61 | 2018 |
| rstanarm: Bayesian applied regression modeling via Stan. R package version 2.11. 1 J Gabry, B Goodrich | 47 | 2016 |
| A pragmatic trial to improve adherence with scheduled appointments in an inner-city pain clinic by human phone calls in the patient's preferred language MH Andreae, S Nair, JS Gabry, B Goodrich, C Hall, N Shaparin Journal of Clinical Anesthesia 42, 77-83, 2017 | 34 | 2017 |
| Integrating Risk Context Into Risk Assessments The Risk Context Scale DG Kroner, AL Gray, B Goodrich Assessment 20 (2), 135-149, 2013 | 20 | 2013 |
| The piranha problem: Large effects swimming in a small pond C Tosh, P Greengard, B Goodrich, A Gelman, A Vehtari, D Hsu arXiv preprint arXiv:2105.13445, 2021 | 19 | 2021 |
| rstanarm: Bayesian applied regression modeling via Stan [Software] J Gabry, B Goodrich | 19 | 2016 |
